In this paper, we present a modeling approach, based on Fuzzy Data Fusion, to reproduce
drivers' dynamic choice behavior under an Advanced Traveler Information System (ATIS) …

In this article, a method for fusing fuzzy data relevant both to drivers' experience and
provided information is presented. Expected travel time is then updated according to the …

In order to design effective advanced traffic information systems (ATIS) suitable
mathematical models have to be defined to simulate the effects of information on users route …

Discrete choice models have been intensively used to analyze and predict the behavior of
people in a transportation network. Nowadays the emergence of the telematic technology …

In this paper, soft computing and artificial intelligence techniques have been used to define
a model for simulating users' decisional process in a transportation system. Through this …

In the analysis of choice behavior problem, the uncertainties that transportation researchers
always encounter and feel uncomfortable can be divided into two different types (Lotan and …

Increasing congestion on the main roads in urban areas pushes analysts to improve
simulation of modal choice to obtain good estimation of the demand shares for different …

This paper presents a model for modelling users' parking choice behaviour. In order to take
explicitly into account imprecision and uncertainty lying in user's choice process the model …

This paper aims to model the traveller's day-to-day route choice in the case of an Advanced
Traveller Information System (ATIS) through two learning paradigms: reinforcement-based …

In this study the impact of real-time travel information acquired through mobile devices on
traveler behavior is investigated. The study takes into consideration individuals' attitudes …